AstraZeneca

Pharma

Director,EnterpriseDataObservabilityCapabilityLead

Mumbai, Maharashtra, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“Director, Enterprise Data Observability Capability Lead at AstraZeneca. Skills: Data Observability, Data Platform, Data Governance, Leadership. Define enterprise Data Observability strategy. Develop best-practice frameworks”

What You'll Achieve.

Enterprise lineage & metadata coverage; Automated governance controls & DQ checks; Errors & data incidents prevented; Team SLA/SLO compliance; Performance uplift; Enterprise FinOps improvements; Cost avoidance; Time-to-detect reduction; Time-to-resolve reduction; Capability maturity; Adoption velocity

Industry & Context.

Pharma
Problems you'll solve

Strategic problem solver; Execution capability

What They're Looking For.

Must Have

Data observability, Data platform engineering, Data governance, Data quality leadership, Modern data architectures, Cloud data platforms, DataOps/DevOps practices, CI/CD testing, Pipeline automation, Data lifecycle management, Metadata, Lineage, Security classification, FinOps, SLA/SLO frameworks, Leadership in large-scale, Federated global technology environments, Influence, Educate, Lead change

Nice to Have

DataOps. live, SOLE/MATE/test automation, Snowflake, Acceldata, Select. dev, Experian Aperture, Collibra, BigID, Snowflake cost governance, Cloud FinOps models, Streaming observability, ML observability, Regulated industries, Data Privacy, HIPAA, GxP, SOX

What You'll Do.

Define enterprise Data Observability strategy

Develop best-practice frameworks

Operate federated service model

Provide ongoing support

Define enterprise observability standards

Establish proactive policies

Deliver reusable templates/frameworks

Drive adoption across BTGs

How You'll Work.

Team & Collaboration

Partner with metadata/governance platforms; Partner with DAPS team; Partner with Cyber Security; Partner with Data Governance; Partner with Architecture teams; Partner with Infrastructure; Partner with Procurement/Legal teams; Collaborate across matrixed teams

Communication Scope

Ability to influence; Ability to educate; Ability to lead change

Process & Methodology

Enterprise adoption roadmap, Service tiers, Maturity evolution

Full Job Description

Job Description **Job Title: Director, Enterprise Data Observability Capability Lead** **GCL: F** The Director, Enterprise Data Observability Capability Lead will define and drive the strategic observability vision and execution for AstraZeneca’s Data & Analytics Platform Services (DAPS), enabling the enterprise to deliver trusted, high-quality, reliable, secure, and cost-efficient data products at scale in alignment with our 2030 Data Strategy. This role owns the design and scaling of our federated Data Observability service, ensuring end-to-end visibility, lineage, automated quality controls, FinOps governance, performance SLAs/SLOs, and regulatory compliance across all BTGs and critical data domains. The leader will manage technology platform direction (Acceldata, DataOps.live capability), partner with metadata/governance platforms (Aperture, Collibra, BigID), and provide integrated observability insights across platforms including telemetry. ## **Key Accountabilities** * Own and complete the enterprise Data Observability strategy aligned to AstraZeneca’s 2030 Data Strategy. * Define the long-term capability model, enterprise adoption roadmap, service tiers, and maturity evolution. * Establish observability as a foundational pillar of data platforms and data governance. * Build and lead the enterprise data monitoring and insight capability team (up to 10 specialists). * Develop best-practice frameworks for lineage, DQ automation, metadata, FinOps, SLA/SLO governance, and data reliability. As per Data observability capability and its sub-capabilities such as Data Quality Management, Data Pipeline Monitoring, FinOps and Track, trace & audit. * Operate a federated service model, ensuring alignment, capability enablement, and scalability across technology divisions supporting business functions. * Lead platform vision, product roadmap, and service improvements for Data Observability: * Acceldata (DQ, lineage, FinOps monitoring, pipeline health) * DataOps.live observa

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